2018
Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia
Reljin N, Zimmer G, Malyuta Y, Shelley K, Mendelson Y, Blehar DJ, Darling CE, Chon KH. Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia. PLOS ONE 2018, 13: e0195087. PMID: 29596477, PMCID: PMC5875841, DOI: 10.1371/journal.pone.0195087.Peer-Reviewed Original ResearchConceptsBlood lossTrauma patientsTraditional vital signsLast time pointBlood pressureHemorrhagic shockCombat casualty careBlood withdrawalHealthy volunteersPhotoplethysmographic recordingsHeart rateBlood volumeEuvolemiaVital signsHypovolemiaPercentage changeTime pointsAbsolute changeCasualty carePatientsBattlefield settingsEarly stagesHemorrhageRecordingsHospital
2012
Using Time-Frequency Analysis of the Photoplethysmographic Waveform to Detect the Withdrawal of 900 mL of Blood
Scully CG, Selvaraj N, Romberg FW, Wardhan R, Ryan J, Florian JP, Silverman DG, Shelley KH, Chon KH. Using Time-Frequency Analysis of the Photoplethysmographic Waveform to Detect the Withdrawal of 900 mL of Blood. Anesthesia & Analgesia 2012, 115: 74-81. PMID: 22543068, DOI: 10.1213/ane.0b013e318256486c.Peer-Reviewed Original ResearchMeSH KeywordsAdultBlood PressureBlood Pressure DeterminationBlood Transfusion, AutologousBlood VolumeBlood Volume DeterminationCluster AnalysisConnecticutElectrocardiographyHeart RateHumansHypovolemiaInfrared RaysMalePhotoplethysmographyPredictive Value of TestsRespiratory MechanicsSensitivity and SpecificitySignal Processing, Computer-AssistedTime FactorsConceptsML of bloodArterial blood pressureBlood lossBlood pressureHeart rateHeart rate frequencyBlood withdrawalML blood lossMean percent decreaseBlood volume lossHeart rate componentSignificant changesPhotoplethysmographic waveformSpontaneous breathingTrauma settingCuff measurementsPPG waveformBlood reinfusionHealthy volunteersStandard electrocardiogramBloodEarly detectionEar PPG signalsBaselineConfidence intervals